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Do-Calculus Interventions in Predictive Coding Networks: Formal Correspondence, Empirical Validation, and Architectural Prescriptions for Clinical Causal AI

2026-07-07

Abstract excerpt

<title>Abstract</title> <p>Clinical decision support increasingly demands AI systems capable of reasoning about the consequences of actions rather than merely predicting outcomes from historical patterns. Here we derive a formal correspondence between predictive coding (PC) network dynamics and Pearl's do-calculus. It shows empirically that this correspondence yields a measurable interventional advantage over sta...

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Literature Corpus work
ff2fcef1-93d1-5a1a-b98a-df0590563fe4
DOI
10.21203/rs.3.rs-10246589/v1
Open publication

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Do-Calculus Interventions in Predictive Coding Networks: Formal Correspondence, Empirical Validation, and Architectural Prescriptions for Clinical Causal AIDOI 10.21203/rs.3.rs-10246589/v1
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